Ebsta Releases 2025 GTM Benchmarks Report Highlighting AI's Role in Sales

Apr 22, 2025
Ebsta has unveiled its 2025 Go-to-Market Benchmarks Report, analyzing $48 billion in pipeline data and surveying 2,000 CROs. The report highlights the increasing importance of AI in sales efficiency and the resurgence of full-cycle sales models.

Ebsta has released its 2025 Go-to-Market (GTM) Benchmarks Report, analyzing $48 billion in pipeline data and surveying 2,000 Chief Revenue Officers (CROs). In a press release, the report highlights a significant shift towards AI-driven efficiency, the widening gap between top and bottom performers, and a resurgence of full-cycle sales models.

The report reveals that win rates have improved from -18% in 2024 to -10% in 2025, and deal values have increased by 54% year-over-year. However, 78% of sellers missed their quotas in 2025, up from 69% in 2024, indicating ongoing challenges in sales performance. Top performers now close deals 11 times faster than their lower-performing counterparts, an increase from 8.9 times in 2024.

Artificial intelligence (AI) has become essential for sales teams, assisting in prioritizing high-value accounts, automating repetitive tasks, and providing real-time deal insights. Sales teams utilizing AI-driven insights significantly outperform traditional teams. Guy Rubin, CEO at Ebsta, emphasized the importance of leveraging AI for smarter sales execution to close the seller performance gap and reduce deal slippage.

A notable trend is the return to full-cycle sales models, with 46% of SaaS and tech companies adopting this approach. In a full-cycle model, a single seller manages the entire customer journey, from prospecting and closing to post-sale nurturing. This shift reflects changing buyer behavior and fosters true GTM alignment, enhancing sales efficiency by minimizing handoffs that can create friction, delays, and miscommunication.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Sales & Marketing AI Weekly or Daily AI Brief.

Also, consider following us on social media:

AI Brief AI Brief (X)
Free newsletter

Sales & Marketing AI Weekly

News about AI tools and innovations for Sales and Marketing professionals.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.